This project explores the structure of multiplication tables through the lens of entropy and unsupervised learning techniques like UMAP (Uniform Manifold Approximation and Projection) and HDBSCAN ...

Abstract: This paper demonstrates an architecture for accelerating the polynomial multiplication using number theoretic transform (NTT). Kyber is one of the finalists in the third round of the NIST ...

Matrix multiplication is at the heart of many machine learning breakthroughs, and it just got faster—twice. Last week, DeepMind announced it discovered a more efficient way to perform matrix ...

An area model is a rectangular grid that can help you solve multiplication problems. The process is similar to how you find the area of a rectangle. Two-digit numbers can be partitioned into smaller ...

This project contains a Python script that generates a multiplication table for any number entered by the user. The script uses a while loop and demonstrates basic programming concepts.